Machine Learning Team Lead (AdTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Team Lead (AdTech): Leading the advertiser-side ML group to design and evolve large-scale Deep Learning models for user intent and recommendations with an accent on marketplace efficiency and scalable production solutions. Focus on bridging modeling gaps, driving technical direction, and leveraging agent-based coding tools to accelerate ML system development.
Location: Hybrid (Tel Aviv, Israel) - 3 days in-office required
Company
is a leading performance-driven advertising technology company that empowers businesses to grow through advanced ad platforms reaching approximately 600M daily active users.
What you will do
- Lead the design and evolution of large-scale Deep Learning models to optimize user intent and behavioral data transformation.
- Own the end-to-end ML delivery process in production to enhance advertiser performance and marketplace efficiency.
- Manage and develop a team of ML engineers, providing technical leadership and mentorship.
- Translate high-level marketplace objectives into concrete modeling strategies.
- Drive the adoption of agent-based coding tools to accelerate experimentation and improve code quality.
Requirements
- Advanced academic training (MSc/PhD) in machine learning, optimization, or statistical modeling.
- 6+ years of experience in Machine Learning modeling.
- Proven expertise in production-grade ML engineering.
- Prior experience in managerial or technical leadership roles.
- Demonstrated ability to drive measurable business impact through modeling.
- Must be based in or able to work from the Tel Aviv office.
Nice to have
- Experience with large-scale recommendation systems.
Culture & Benefits
- Hybrid work schedule (3 days in-office).
- Comprehensive well-being benefits, including health insurance.
- Office perks: fully stocked kitchen, gym partnerships, and parking.
- Opportunity to work with world-class publishers and advertisers like Yahoo, NBCU, and ESPN.
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